Business Overview
Innodata Inc. (Nasdaq: INOD) (including its subsidiaries, the “Company,” “Innodata,” “we,” “us” or “our”) is a leading data engineering company. Our mission is to help the world’s most prestigious companies deliver the promise of ethical, high-performing artificial intelligence (“AI”), which we believe will contribute to a safer and more prosperous world.
Innodata was founded on a simple idea: engineer the highest quality data so organizations across broad industry segments could make smarter decisions. Today, we believe we are delivering the highest quality data for some of the world’s most innovative technology companies to use to train the AI models of the future.
AI holds the promise that computers can perceive and understand the world, enabling products and services that would have been previously unimaginable and impossible with traditional coding. AI learns from data, and the highest-performing AI will have learned from the highest-quality data. We believe that we can contribute meaningfully by harnessing our capabilities, honed over 30+ years, in collecting and annotating data at scale with consistency and high accuracy.
We are also helping companies deploy and integrate AI into their operations and products and providing innovative AI-enabled industry platforms, helping ensure that our customers’ businesses are prepared for a world in which machines augment human activity in ways previously unimaginable.
We developed our capabilities and honed our approaches progressively over the last 30+ years creating high-quality data for many of the world’s most demanding information companies. Approximately eight years ago, we formed Innodata Labs, a research and development center, to research, develop and apply machine learning and emerging AI to our large-scale, human-intensive data operations. In 2019, we began packaging the capabilities that emerged from our R&D efforts in order to align with several fast-growing new markets and help companies use AI/ML to drive performance benefits and business insights.
Our historical core competency in high-quality data, combined with these R&D efforts in applied AI, created the foundation for the evolution of our offerings, which include AI Data Preparation, AI Model Deployment and Integration, and AI-Enabled Industry Platforms.
AI Data Preparation
For several of the world’s large technology companies, we support their efforts at building generative AI foundation models. For these companies, we provide or are poised to provide a range of scaled data solutions and services. Our scaled data solutions include providing instruction data sets for fine-tuning large language models (LLMs) to understand prompts, to accept instruction, to converse, to apparently reason, and to perform the myriad of incredible feats that many of us have now experienced. We also provide reinforcement learning and reward modeling, services which are critical to provide the guardrails against toxic, bias and harmful responses, and model evaluation services.
For social media companies, robotics companies, financial services companies, and many others, we collect or create training data, annotate training data, and train AI algorithms for working with images, text, video, audio, code and sensor data.
We utilize a variety of leading third-party tools, proprietary tools and customer tools. For text annotation, we use our proprietary data annotation platform that incorporates AI to reduce costs while improving consistency and quality of output. Our proprietary data annotation platform features auto-tagging capabilities that apply to both classical and generative AI tasks. The platform encapsulates many of the innovations we conceived of in the course of its 30+ year history of creating high-quality data.
In addition, because collecting real-world data is often impracticable (due to data privacy regulations or the rarity of cohorts and outliers), we create high-quality synthetic data that maintains all of the statistical properties of real-world data, using a combination of domain specialists and machine technologies that leverage LLMs.
AI Model Deployment and Integration
We help businesses leverage the latest AI technologies to achieve their goals. We develop custom AI models (where we select the appropriate algorithms, tune hyperparameters, train and validate the models, and update the models as required). We also help businesses fine-tune their own custom versions of our proprietary models and third-party foundation models to address domain-specific and customer-specific use cases.
